Business Intelligence & Analytics Lead

Requirements

• Education & Certificates
• Bachelor’s Degree, required
• Degree in Computer Science, Data Science, Finance, Business, or a related field, preferred
• Professional Experience
• Minimum of 8 years of overall relevant experience, required
• 7+ years of experience in Business Intelligence, Analytics Engineering, Data Engineering, Enterprise Analytics, or Data Platform roles, preferably within financial services, private equity, or investor relations.
• Experience designing enterprise reporting platforms, data warehouses, semantic models, and self-service analytics solutions.
• Experience leveraging AI technologies to improve analytics, reporting, or software development workflows is highly desirable.
• Competencies & Attributes
• Technical Expertise: Deep expertise in SQL, Power BI, Python, data modeling, ETL/ELT pipelines, and modern cloud data platforms (Snowflake preferred). Strong knowledge of business intelligence architecture, data warehousing, semantic models, automation, and system integration.
• AI & Modern Development: Working knowledge of generative AI, AI-assisted development, and modern productivity tools (e.g., Cursor, GitHub Copilot, ChatGPT, Hebbia, AlphaSense), with the ability to identify practical opportunities to improve analytics, engineering productivity, and business processes.
• Business Acumen: Demonstrated understanding of private equity, alternative investments, and investor relations with a proven ability to link technical solutions to business strategies.
• Analytical Thinking: Exceptional problem-solving skills with a track record of using data to derive insights and drive decision-making.
• Communication Skills: Strong interpersonal and communication skills, with the ability to translate technical concepts into actionable business strategies for senior leadership.
• Leadership: Ability to lead projects and collaborate across diverse teams, including non-technical stakeholders.
• Adaptability: Comfortable working in a fast-paced, high-stakes environment with an ability to manage multiple projects and deadlines.
• Benefits/Compensation
• The compensation range for this role is specific to New York and considers a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
• The anticipated base salary range for this role is $180,000 to $200,000.
• In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
• Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.

Who We Are

Preferred Qualifications

• Degree in Computer Science, Data Science, Finance, Business, or a related field, preferred
• Technical Expertise: Deep expertise in SQL, Power BI, Python, data modeling, ETL/ELT pipelines, and modern cloud data platforms (Snowflake preferred). Strong knowledge of business intelligence architecture, data warehousing, semantic models, automation, and system integration.
• The compensation range for this role is specific to New York and considers a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.